where \(F^{j}=\lbrace f^{j}_{1},\dots ,f^{j}_{M}\rbrace \)  is multi-modal feature of object \(i\)  under view \(j\) . As shown at the bottom of Fig. REF , in each layer of the decoder, object features \(O^{j}\)  first pass through a self-attention module [1]}, where interactions between objects are modeled. Then object features \(O^{j}\)  and language features \(L\)  are fused through a cross-attention module [1]}.
